---
title: "Who cites AtP*: An efficient and scalable — 32 citing papers"
description: "32 papers of the Elamur Research library cite «AtP*: An efficient and scalable method for localizing LLM behaviour to components», found in their…"
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---
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# Who cites «AtP*: An efficient and scalable method for localizing LLM behaviour to components»

32 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · [← back to «AtP*: An efficient and scalable method for localizing LLM behaviour to components»](https://md.research.elamur.ai/free/en/papers/kramar-2024-atp-efficient-scalable-method-localizing/)

1. [**Mechanistic Interpretability for AI Safety — A Review arXiv:2404.14082**Leonard Bereska, Efstratios Gavves*2024 · 108 citations*](https://md.research.elamur.ai/free/en/papers/bereska-2024-mechanistic-interpretability-ai-safety-review/)
2. [**A Primer on the Inner Workings of Transformer-based Language Models arXiv:2405.00208**Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.*2024 · 72 citations*](https://md.research.elamur.ai/free/en/papers/ferrando-2024-primer-inner-workings-transformer-based/)
3. [**Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms arXiv:2403.17806**Michael Hanna, Sandro Pezzelle, Yonatan Belinkov*2024 · 54 citations*](https://md.research.elamur.ai/free/en/papers/hanna-2024-have-faith-faithfulness-going-circuit/)
4. **[Information Flow Routes: Automatically Interpreting Language Models at Scale](https://md.research.elamur.ai/free/en/papers/ferrando-2024-information-flow-routes-automatically-interpreting/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Javier Ferrando, Elena Voita*2024 · 43 citations*
5. **[Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers](https://md.research.elamur.ai/free/en/papers/dumas-2025-separating-tongue-thought-activation-patching/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Clément Dumas, Chris Wendler, Veniamin Veselovsky, et al.*2025 · 27 citations*
6. [**Language Models Use Trigonometry to Do Addition arXiv:2502.00873**Subhash Kantamneni, Max Tegmark*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/kantamneni-2025-language-models-use-trigonometry-addition/)
7. **[The Quest for the Right Mediator: Surveying Mechanistic Interpretability for NLP Through the Lens of Causal Mediation Analysis](https://md.research.elamur.ai/free/en/papers/mueller-2026-quest-right-mediator-surveying-mechanistic/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Aaron Mueller, Jannik Brinkmann, Millicent Li, et al.*2026 · 7 citations*
8. **[Trajectory Signatures of Deception in Large Language Models](https://md.research.elamur.ai/free/en/papers/mothukuri-2026-trajectory-signatures-deception-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Viraaji Mothukuri, Reza M. Parizi*2026 · 1 citation*

24 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/kramar-2024-atp-efficient-scalable-method-localizing/) — AtP*: An efficient and scalable method for localizing LLM behaviour to components